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jiahaomei/MUSE-VA

MUSE-VA Dataset English | 中文 MUSE-VA (Multimodal MUSic Emotion Dataset with Balanced VA) is a large-scale multimodal music emotion dataset designed for music emotion understanding, emotion-controllable music generation, and cross-modal affective modeling. The dataset starts from target coordinates sampled in the continuous Valence-Arousal (VA) space and uses a five-stage LLM agent pipeline with affective and musical knowledge injection to construct music, text, images, and… See the full description on the dataset page: https://huggingface.co/datasets/jiahaomei/MUSE-VA.

Author / organizationjiahaomei
License (as declared)cc-by-nc-4.0
Downloads609 (as reported by Hugging Face)
Likes2
Created23 June 2026
Last updated at source15 July 2026
text-to-musicimage-to-musicmusic-emotion-recognitionaffective-music-generation
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